Detecting and analyzing clusters of low-birth weight incidence using exploratory spatial data analysis

GeoJournal

Volumn 53, Issue 2, 2001, Pages 149-159

  Reader, Steven ^a  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

Author keywords

Kernel density estimation; Low birth weight; Monte Carlo simulation; Spatial clustering

Indexed keywords

HEALTH; RISK MANAGEMENT; STATISTICS;

LOW BIRTH WEIGHT;

GEOLOGY;

CLUSTER ANALYSIS; HEALTH MONITORING; SPATIAL ANALYSIS; WEIGHT;

UNITED STATES;

EID: 0035555888     PISSN: 03432521     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1015776603915     Document Type: Article

References (11)

1. Small area variation in low birthweight: Looking beyond socioeconomic predictors
2. Risk of low birth weight infants among black and white parents
3. Low birth weight: A women's health issue
4. Geographic patterns of low birth weight in Hawaii
5. A spatial scan statistic
6. Is non-metropolitan residence a risk factor for poor birth outcome in the U.S?
7. A Mark 1 Geographical Analysis Machine for the automated analysis of point data sets
8. SPLANCS: Spatial point pattern analysis code in S-Plus
9. Exploratory spatial analysis of birth defect rates in an urban population
10. Low birth weight: Analysis and recommendations